Identifying patients at highest-risk: the best timing to apply a readmission predictive model.

Flaks-Manov, Natalie; Topaz, Maxim; Hoshen, Moshe; Balicer, Ran D; Shadmi, Efrat

Flaks-Manov, Natalie; Topaz, Maxim; Hoshen, Moshe; Balicer, Ran D; Shadmi, Efrat.

Afiliação

Flaks-Manov N; Clalit Research Institute, Clalit Health Services, Shoham 2, Ramat Gan, Israel.
Topaz M; Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Sciences, University of Haifa, 31905, Haifa, Israel.
Hoshen M; Clalit Research Institute, Clalit Health Services, Shoham 2, Ramat Gan, Israel.
Balicer RD; Clalit Research Institute, Clalit Health Services, Shoham 2, Ramat Gan, Israel.
Shadmi E; Department of Epidemiology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

BMC Med Inform Decis Mak ; 19(1): 118, 2019 06 26.

Article em En | MEDLINE | ID: mdl-31242886

Assuntos

Readmissão do Paciente; Idoso; Idoso de 80 Anos ou mais; Serviço Hospitalar de Emergência; Feminino; Humanos; Masculino; Alta do Paciente; Valor Preditivo dos Testes; Estudos Prospectivos; Fatores de Risco; Fatores de Tempo

Palavras-chave

All-cause readmission; Electronic medical records; Timing of readmission predictive model

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Readmissão do Paciente Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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